Analysis of microprocessor performance in the swarm application of spray drones in precision farming

Abstract

. The effectiveness of the swarm application of spray drones in precision agriculture largely depends both on the drone models and their characteristics chosen for this purpose, and on the organization of their swarm management. The article substantiates the need to analyze the microprocessor performance of a swarm of atomizer drones in various modes of their use. It is possible to organize a general control of a swarm of drones, as well as individual control in offline mode. The article presents a methodology for analyzing the performance of the use of spray drones in precision agriculture. A model example of the analysis of the microprocessor performance of a swarm of drones based on the specified system parameters is given. It is shown that the use of models of microprocessor performance of a swarm of drones in precision farming makes it possible to obtain the information necessary to make a decision on the development or purchase of unmanned aerial vehicles of one type or another, the choice of fertilizer and pesticide spraying systems, the scaling and redundancy of unmanned vehicles and elements of the spraying system.